
Chris McIntosh
@cmcintoshai
AI Scientist at TGHRI, PMCC, JDMI, UHN; Chair in AI Medical Imaging; Assistant Professor University of Toronto; Affiliate Faculty at Vector Institute
ID: 228848821
https://mcintoshml.github.io/ 20-12-2010 21:08:59
80 Tweet
223 Followers
156 Following

Swiss is leading the AI infrastructure with 10k H100! Hope Canada can catch up with science investments โBrad Wouters ๐จ๐ฆ Barry Rubin MD, PhD, FRCSC


UHNITED โ our first brand campaign, launches today! At University Health Network, great minds from different disciplines come together to not only deliver the best care for our patients, but to also push the status quo of health care. Read more โ bit.ly/3OeSq3r UHNITED.ca


Huge thank you to TRANSFORM HF,Tanenbaum Institute for Science in Sport, and U of T Data Sciences Institute (DSI) for the support! We're looking forward to sharing the results and getting these technologies ever closer to positively impacting lives.

Postdoc opening in my lab at University Health Network & University of Toronto developing multimodal AI to transform patient care. Work with diverse health datasets, build digital interventions, and see real-world clinical impact. Apply now: jobs.smartrecruiters.com/UniversityHealโฆ Please share widely to help spread the word!


Congratulations to Chris Y for his fantastic work using AI Approach to cardiac MRI for predicting cardiotoxicity risk! Well presented at #GCOS. Chris McIntosh Husam Abdel-Qadir Princess Margaret Cancer Centre Ted Rogers Centre for Heart Research Canadian Cardiac Oncology Network Peter Munk Cardiac Centre University Health Network Department of Medicine University of Toronto




Happy to share our latest work on #medRxiv! We develop an explainable algorithm, Decision Path Similarity Matching (DPSM), that debiases observational data to simulate RCT-like conditions. medrxiv.org/content/10.110โฆ Chris McIntosh Mamatha Bhat Bima J. Hasjim, MD MSc #ML #healthcare

Thank you EMJ Reviews for the great conversation!

I'm incredibly grateful for the opportunity to not only build cutting edge technology but to get it ever closer to widespread clinical impact through commercialization. Thank you UHN Research

